Universal Display
Research Scientist Artificial Intelligence in Chemistry
Universal Display, Titusville, New Jersey, us, 08560
Overview
At Universal Display Corporation (Nasdaq: OLED) (UDC), were changing the way people see the world. If youre reading this on a smartphone, theres a good chance UDCs materials are producing the light and color shining from your screen right now. UDCs OLED ingredients are key parts of stunning, energy-efficient displays used in everything from smartwatches to phones, tablets, laptops, monitors, TVs and automobiles. Virtually every OLED consumer electronics product around the world uses UDCs phosphorescent OLED materials and technologies. UDC is a publicly traded company and pioneer in the OLED industry. When you join our global team, you are embarking on a journey at the forefront of display technology and organic electronics that impacts the daily lives of people around the world. From engineers to chemists, Ph.D. scientists, technicians, lawyers and more, our UDC team is continuously advancing our field. With a focus on energy efficiency, UDCs team is contributing to making a better, more sustainable planet. Please visit us at www.oled.com. Job Summary
Universal Display Corporation is seeking a Research Scientist to apply inferential and generative artificial intelligence (AI) methods across a broad range of chemistry domains. As a key player in our multidisciplinary team, the Scientist will be at the forefront of developing machine learning models that predict chemical properties and design new compounds and materials. The ideal candidate is knowledgeable about the latest advancements in AI/ML and can lead exploratory research projects independently, contributing to cutting-edge academic research. Key Responsibilities Design and implement state-of-the-art machine learning models (e.g., tree-based algorithms, fingerprint-based methods, multi-layer perceptrons, and graph neural networks) to predict chemical and material properties with unparalleled accuracy. Develop and apply generative AI techniques to propose new molecules or materials with desired target properties that push past the limitations of todays OLEDs. Continuously refine and validate predictive models to improve accuracy and reliability ensuring they meet the highest standards for molecular property prediction and compound design. Work closely with team members in the computational group to seamlessly integrate AI approaches with traditional chemical research methods such as laboratory experiments, molecular simulations, and quantum chemistry calculations. Partner with other R&D scientists to interpret model predictions, guide experiment design, and identify promising leads for new compounds or materials.
Qualifications
PhD in Chemistry, Physics, or a related field (e.g., Chemical Engineering, Materials Science). Proven experience applying machine learning to chemical problems, including developing both property prediction (inferential) models and generative models (demonstrated through peer-reviewed publications or successful practical applications). Familiarity with a broad range of machine learning approaches relevant to chemistry, such as tree-based models, fingerprint-based similarity methods, multi-layer perceptrons (MLPs), and graph neural network models. Proficiency in Python for scientific programming and data analysis, including experience with relevant libraries/frameworks (e.g., PyTorch, RDKit, PyG, etc.). Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
Preferred Qualifications
Postdoctoral research experience (2+ years) or equivalent advanced research experience applying AI/ML in chemistry. Background in organic electronics or related fields (e.g., OLED materials, organic semiconductors) is highly valued. Experience with machine learned interatomic potentials (MLIP) including training and implementation is a plus. Experience developing user interfaces or graphical tools for scientific software applications (GUI design skills).
Current Benefits at UDC
Competitive base salary and annual bonus program Medical/Prescription Drug coverage, Dental, and Vision for employees and family Transit, Health and Dependent Care Flexible Spending Accounts (FSAs) Health Reimbursement Account (HRA) An employer-paid benefit to reimburse a portion of employees eligible out-of-pocket medical expenses, such as deductibles, coinsurance, and pharmacy expenses Group Term Life insurance, short term disability, and long term disability benefits for employees Employee Stock Purchase Plan (ESPP) 401(k) company contribution Ewing Worldwide Headquarters (HQ) cafeteria provides breakfast and lunch to employees at no cost to them Annual charitable matching gift Generous Paid Time Off
Annual compensation range: $115-140k negotiable #J-18808-Ljbffr
At Universal Display Corporation (Nasdaq: OLED) (UDC), were changing the way people see the world. If youre reading this on a smartphone, theres a good chance UDCs materials are producing the light and color shining from your screen right now. UDCs OLED ingredients are key parts of stunning, energy-efficient displays used in everything from smartwatches to phones, tablets, laptops, monitors, TVs and automobiles. Virtually every OLED consumer electronics product around the world uses UDCs phosphorescent OLED materials and technologies. UDC is a publicly traded company and pioneer in the OLED industry. When you join our global team, you are embarking on a journey at the forefront of display technology and organic electronics that impacts the daily lives of people around the world. From engineers to chemists, Ph.D. scientists, technicians, lawyers and more, our UDC team is continuously advancing our field. With a focus on energy efficiency, UDCs team is contributing to making a better, more sustainable planet. Please visit us at www.oled.com. Job Summary
Universal Display Corporation is seeking a Research Scientist to apply inferential and generative artificial intelligence (AI) methods across a broad range of chemistry domains. As a key player in our multidisciplinary team, the Scientist will be at the forefront of developing machine learning models that predict chemical properties and design new compounds and materials. The ideal candidate is knowledgeable about the latest advancements in AI/ML and can lead exploratory research projects independently, contributing to cutting-edge academic research. Key Responsibilities Design and implement state-of-the-art machine learning models (e.g., tree-based algorithms, fingerprint-based methods, multi-layer perceptrons, and graph neural networks) to predict chemical and material properties with unparalleled accuracy. Develop and apply generative AI techniques to propose new molecules or materials with desired target properties that push past the limitations of todays OLEDs. Continuously refine and validate predictive models to improve accuracy and reliability ensuring they meet the highest standards for molecular property prediction and compound design. Work closely with team members in the computational group to seamlessly integrate AI approaches with traditional chemical research methods such as laboratory experiments, molecular simulations, and quantum chemistry calculations. Partner with other R&D scientists to interpret model predictions, guide experiment design, and identify promising leads for new compounds or materials.
Qualifications
PhD in Chemistry, Physics, or a related field (e.g., Chemical Engineering, Materials Science). Proven experience applying machine learning to chemical problems, including developing both property prediction (inferential) models and generative models (demonstrated through peer-reviewed publications or successful practical applications). Familiarity with a broad range of machine learning approaches relevant to chemistry, such as tree-based models, fingerprint-based similarity methods, multi-layer perceptrons (MLPs), and graph neural network models. Proficiency in Python for scientific programming and data analysis, including experience with relevant libraries/frameworks (e.g., PyTorch, RDKit, PyG, etc.). Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
Preferred Qualifications
Postdoctoral research experience (2+ years) or equivalent advanced research experience applying AI/ML in chemistry. Background in organic electronics or related fields (e.g., OLED materials, organic semiconductors) is highly valued. Experience with machine learned interatomic potentials (MLIP) including training and implementation is a plus. Experience developing user interfaces or graphical tools for scientific software applications (GUI design skills).
Current Benefits at UDC
Competitive base salary and annual bonus program Medical/Prescription Drug coverage, Dental, and Vision for employees and family Transit, Health and Dependent Care Flexible Spending Accounts (FSAs) Health Reimbursement Account (HRA) An employer-paid benefit to reimburse a portion of employees eligible out-of-pocket medical expenses, such as deductibles, coinsurance, and pharmacy expenses Group Term Life insurance, short term disability, and long term disability benefits for employees Employee Stock Purchase Plan (ESPP) 401(k) company contribution Ewing Worldwide Headquarters (HQ) cafeteria provides breakfast and lunch to employees at no cost to them Annual charitable matching gift Generous Paid Time Off
Annual compensation range: $115-140k negotiable #J-18808-Ljbffr